A performance of modified fuzzy C-means (FCM) and chicken swarm optimization (CSO)

Suprihatin; Iwan Tri Riyadi Yanto; Nursyiva Irsalinda; Tuti Purwaningsih; Haviluddin; Aji Prasetya Wibawa

doi:10.1109/ICSITech.2017.8257105

A performance of modified fuzzy C-means (FCM) and chicken swarm optimization (CSO)

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Suprihatin, Iwan Tri Riyadi Yanto, Nursyiva Irsalinda, Tuti Purwaningsih, Haviluddin, Aji Prasetya Wibawa

2017 Proceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017 Vol. 2018-January Conference paper Cited by 6

Abstract

Numerous research and related applications of fuzzy clustering are still interesting and important. In this paper, modified Fuzzy C-Means (FCM) and Chicken Swarm Optimization (CSO) algorithm in order to improve local optima of Fuzzy Clustering presented by using UCI dataset. In this study, the proposed FCMCSO performance is also compared with three methods i.e. FCM based on Particle Swarm Optimization (FCMPSO), FCM based on Artificial Bee Colony (FCMABC), and also FCM. The simulation results indicated that the FCMCSO method have better performance than three other compared methods. © 2017 IEEE.

Affiliations

Department of Information System, Universitas Ahmad Dahlan Yogyakarta, Indonesia; Department of Statistics, Universitas Ahmad Dahlan, Yogyakarta, Indonesia; Mulawarman University, East Kalimantan, Indonesia; State University of Malang, Malang, Indonesia

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